Systems, devices, and methods for performing active auscultation and detecting sonic energy measurements

ABSTRACT

Active auscultation may be used to determine organ (e.g., lung or heart) characteristics of users. An acoustic or piezo-electric signal (e.g., a pulse, a tone, and/or a broadband pulse) may be projected into an animal (typically human) body or thorax. The signal interacts with the body, or lungs, and in some cases may induce resonance within the body/lungs. A resultant signal may be emitted from the body which may be analyzed to determine, for example, a lung&#39;s resonant frequency or frequencies and/or how the sound is otherwise absorbed, reflected, or modified by the body. This information may be indicative of lung characteristics such as lung capacity, a volume of air trapped in the lungs, and/or the presence of COPD.

RELATED APPLICATIONS

This application is a CONTINUATION of U.S. patent application Ser. No.17/956,803, entitled “SYSTEMS, DEVICES, AND METHODS FOR PERFORMINGACTIVE AUSCULTATION AND DETECTING SONIC ENERGY MEASUREMENTS” filed Sep.29, 2022, which is a CONTINUATION of U.S. patent application Ser. No.17/204,925, entitled “SYSTEMS, DEVICES, AND METHODS FOR PERFORMINGACTIVE AUSCULTATION AND DETECTING SONIC ENERGY MEASUREMENTS” filed Mar.17, 2021, which is a CONTINUATION of patent application Ser. No.16/926,399, entitled “SYSTEMS, DEVICES, AND METHODS FOR PERFORMINGACTIVE AUSCULTATION AND DETECTING SONIC ENERGY MEASUREMENTS” filed Jul.10, 2020, which is a CONTINUATION of U.S. patent application Ser. No.16/542,103, entitled “SYSTEMS, DEVICES, AND METHODS FOR PERFORMINGACTIVE AUSCULTATION AND DETECTING SONIC ENERGY MEASUREMENTS” filed Aug.15, 2019, which is a CONTINUATION of PCT/US2019/029481, entitled“SYSTEMS, DEVICES, AND METHODS FOR PERFORMING ACTIVE AUSCULTATION ANDDETECTING SONIC ENERGY MEASUREMENTS” filed Apr. 26, 2019, which is aNON-PROVISIONAL of, and claims priority to, U.S. Provisional PatentApplication No. 62/663,262 entitled “ACTIVE AUSCULTATION DEVICE ANDSONIC ENERGY MEASUREMENT SENSOR” filed Apr. 27, 2018, and is aNON-PROVISIONAL of, and claims priority to, U.S. Provisional PatentApplication No. 62/773,002 entitled “SYSTEMS, DEVICES, AND METHODS FORPERFORMING ACTIVE AUSCULTATION AND SONIC ENERGY MEASUREMENTS” filed Nov.29, 2018 both of which are incorporated by reference, in theirentireties, herein.

BACKGROUND

Auscultation is used to determine conditions of organs within an animalbody, typically the heart or lungs. A signal is introduced into the bodyoften times by manually tapping the chest or back. After that signal hasinteracted with the organ of interest (typically the lungs), it isdetected by a stethoscope. By analyzing the detected signal, conditionsof the organ can be determined.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is illustrated by way of example, and notlimitation, in the figures of the accompanying drawings in which:

FIG. 1 shows an exemplary active auscultation system, consistent withsome embodiments of the present invention;

FIG. 2A illustrates a second exemplary active auscultation system,consistent with some embodiments of the present invention;

FIG. 2B illustrates a third exemplary active auscultation system,consistent with some embodiments of the present invention;

FIG. 3A provides a front and a side view of a user wearing an activeauscultation system, consistent with some embodiments of the presentinvention;

FIG. 3B provides a front and a side view of a user wearing an emitterand a receiver positioned on opposite sides of the user's thorax,consistent with some embodiments of the present invention;

FIG. 3C provides an illustration of an exemplary active auscultationsystem configured as a stick-on patch that may be attached to a user'sepidermis, consistent with some embodiments of the present invention;

FIG. 4 provides a block diagram of a system for the acquisition andprocessing of active auscultation data from a plurality of communicationdevices, consistent with some embodiments of the present invention;

FIG. 5A provides an image of a scanned lung with a small volume of airtrapped therein, consistent with some embodiments of the presentinvention

FIG. 5B provides an image of a scanned lung affected with COPD thatincludes a plurality of pockets, or volumes, of trapped air, consistentwith some embodiments of the present invention;

FIG. 6 provides an image of an exemplary manner in which a user's leftlung and right lung may be modeled or approximated, consistent with someembodiments of the present invention;

FIG. 7A shows a spectrum capture three-dimensional graph of sound thathas passed through a user's lungs and has been received by a receiver,consistent with some embodiments of the present invention;

FIG. 7B shows a graph of respiratory cycle estimation, consistent withsome embodiments of the present invention;

FIG. 8 provides a series of graphs of some exemplary sound that may becontinuously emitted over time by an emitter into a user's lungs andreceived via an active auscultation system, consistent with someembodiments of the present invention;

FIG. 9 provides a graph of exemplary lung resonance signature (LRS)data, consistent with some embodiments of the present invention;

FIG. 10 provides a flowchart depicting a process, consistent with someembodiments of the present invention; and

FIG. 11 depicts components of a computer system in which computerreadable instructions instantiating the methods of the present inventionmay be stored and executed, consistent with some embodiments of thepresent invention.

Throughout the drawings, the same reference numerals and characters,unless otherwise stated, are used to denote like features, elements,components, or portions of the illustrated embodiments. Moreover, whilethe subject invention will now be described in detail with reference tothe drawings, the description is done in connection with theillustrative embodiments. It is intended that changes and modificationscan be made to the described embodiments without departing from the truescope and spirit of the subject invention as defined by the appendedclaims.

SUMMARY

The present invention active auscultation to determine organ (e.g., lungor heart) characteristics of users. An acoustic or piezo-electric signal(e.g., a pulse, a tone, and/or a broadband pulse) is projected into ananimal (typically human) body or chest. The signal interacts with thebody, or lungs, and in some cases may induce resonance within thebody/lungs. A resultant signal may be emitted from the body which may beanalyzed to determine, for example, a lung's resonant frequency orfrequencies and/or how the sound is otherwise absorbed, reflected, ormodified by the body. This information may be indicative of lungcharacteristics such as lung capacity and/or the presence of COPD.

One method of active auscultation disclosed herein projects an acousticsignal into user's body toward a target of interest, often times, theuser's heart and/or lung(s). The acoustic signal may be projected intothe user's body continuously, periodically, and or as pulse orshort-duration burst that may last for approximately 0.1-5 seconds. Insome embodiments, the acoustic signal may be a broadband signalincluding a plurality of frequencies ranging from, for example, 2,000 Hzand 30,000 Hz.

A portion of the acoustic signal may emanate from the user's body via,for example, back scattering or transmission and may be received by areceiver such as a microphone. A characteristic of the received acousticsignal may then be determined. Exemplary characteristics include anintensity, a duration, and/or a frequency of the received acousticsignal. The characteristic may be provided to an operator.

In some embodiments, these steps may be repeated a plurality of timesand characteristics of the received sound may be compared with oneanother to determine, for example, changes in the characteristic overtime and/or whether a determined characteristic corresponds with anotherfactor such as an improvement to the user's health, an adverse healthevent, a weather factor, an environmental factor, etc. The comparisonmay be provided to an operator.

Additionally, or alternatively, the determined characteristic may becompared to a predetermined value for the characteristic in order todetermine, for example, how the user's characteristic compares withother characteristics in order to deduce a similarity or pattern whichmay be used to diagnose the user and/or predict when an adverse event islikely to occur.

Additionally, or alternatively, in some instances, a duration, anintensity, and/or frequencies included in the signal may be adjustedresponsively to, for example, the determined characteristics of thereceived acoustic signal and/or a lack of a sufficiently clear receivedacoustic signal.

In some instances, the characteristic may be used to determine a volumeof air trapped in the user's lung and/or a lung capacity for the user.

Additionally, or alternatively, in some embodiments, active auscultationmay be performed by providing, by a processor in communication with anemitter, signal stimuli to the emitter so that the emitter producesacoustic energy of a plurality of frequencies, the acoustic energy beingdirected towards an organ of a user. An acoustic energy response thatcorresponds to the acoustic energy of the plurality of frequenciesdirected towards to the organ may then be received and analyzed todetermine a resonant frequency for the organ. In some embodiments, theplurality of frequencies directed towards the organ may include a set ofdiscrete frequencies, a predetermined frequency response, and/or a binof frequencies. Additionally, or alternatively, the signal stimuli maycause the emitter to produce acoustic energy that cycles through the setof discrete frequencies over a predetermined period of time.Additionally, or alternatively, the signal stimuli may cause the emitterto produce acoustic energy that includes a series of pseudo-randomlygenerated and/or selected frequencies. Additionally, or alternatively,the signal stimuli may cause the emitter to produce acoustic energy toproduce a burst of acoustic energy that includes the plurality offrequencies.

In some embodiments, a volume of air trapped in the organ may bedetermined based on the resonant frequency for the target.

In some embodiments disclosed herein, information pertaining to the usermay be received and correlated to the resonant frequency of the targetand/or organ. At times, the received information pertains to one or moreof a physiological characteristic of a user, a diagnosis of a user, asize of the organ, a shape of the organ, a type of fluid in the organ, atype of gas in the organ, a location of the emitter, a location of thereceiver, a level of ambient noise, and an orientation of a user.

Exemplary systems disclosed herein may include a processor and/or serverconfigured to provide signal stimuli to an emitter (e.g., a speaker) incommunication with the processor such that the emitter produces acousticenergy of a plurality of frequencies. The acoustic energy may bedirected towards an organ of a user's body. An acoustic energy responsethat corresponds to the acoustic energy of the plurality of frequenciesdirected towards to the organ may be received by the processor/serverand the processor/server may generate a comparison between the acousticenergy response and a predetermined threshold and then determine, basedon the comparison, one or more resonant frequencies for the organ.

Additionally, or alternatively, active auscultation may be performed byproviding, by a processor in communication with an emitter, a firstsignal stimuli to the emitter such that the emitter produces acousticenergy of a first plurality of frequencies that is directed towards anorgan, receiving, by the processor, via a receiver in communication withthe processor, a first acoustic energy response that corresponds to theacoustic energy of the first plurality of frequencies directed towardsthe organ, providing, by the processor, a second signal stimuli to theemitter such that the emitter produces acoustic energy of a secondplurality of frequencies that is directed towards the organ, receiving,by the processor, via the receiver, a second acoustic energy responsethat corresponds to the acoustic energy of the second plurality offrequencies directed towards the organ, generating, by the processor, acomparison between the first acoustic energy response and the secondacoustic energy response, and determining, by the processor, based onthe generated comparison, one or more characteristics of the organ.

In some embodiments, a wearable auscultation sensor used herein mayinclude an emitter configured to project an acoustic signal into auser's body, a receiver configured to receive an acoustic signalemanating from the user's body, and a noise cancelling device configuredreduce ambient noise in the received acoustic signal. The noisecancelling device may be mechanical and/or electronic/acoustic innature. In some instances, the noise cancelling device may includenoise-cancelling circuitry specifically designed to cancel unwantedambient noise of known and/or unknown frequencies. In some embodiments,the noise cancelling device may analize the ambient noise and add asignal to the received signal that is 180 degrees out of phase with theambient noise to filter the ambient noise from the received signal.

Written Description

A system (e.g. a physical object) that amplifies sound waves onfrequencies that match one or more of the system's natural vibrationfrequencies is a definition of acoustic resonance. Once the object isexcited with energy at frequencies unrelated to their natural vibrationfrequencies, the energy will quickly dissipate. But when the excitationapproximates one of the object's natural vibration frequencies, theobject will start to resonate and vibrate strongly in this frequency. Anobject's resonant frequencies may be found by exciting it with, forexample, a specific frequency, a set of frequencies, a broadband signal(e.g. noise composed of many frequencies), a pseudo-randomly generatedfrequency or range of frequencies, a chirp signal, and/or a white noisesignal.

Systems, devices, and methods for performing active auscultation andsonic energy measurements that utilize resonance are herein described.The systems, devices, and methods may use an active acoustic sensor,digital signal processing, and machine learning for continuous,long-term and non-invasive lung-health monitoring. Exemplary systems anddevices include a sound or acoustic energy transducer/emitter (e.g., aspeaker) and a sonic energy transducer/receiver (e.g., a microphone).Often times, the emitter may be configured to emit sound within a range(e.g., 20 Hz to 100 kHz) that will pass through a user's skin andpenetrate a portion of his or her body (e.g., thorax or chest) and thereceiver may be configured receive sound within this range.

Lung function assessment and COPD diagnosis and monitoring are oftendone using a variety of functional tests (e.g., spirometry,plethysmography), imaging techniques (e.g., CAT Scan, X-rays), anddoctor observation and examination. These techniques require specializedequipment and often must take place in a medical environment and beadministered by medical professionals. Spirometry and other testsrequire the user to stop all activity and breathe on a device in acertain way. This makes continuous lung function monitoring cumbersome,a substantial disruption to a user's daily routine, and difficult forhome care.

The systems, devices, and methods disclosed herein may be used tomeasure acoustic resonance in a user's body or portions thereof (e.g.,organs such as the lungs or heart). Characteristics of measuredresonance may be affected by, for example, air, liquid, or fat includedwithin the user's body or target tissue and/or other physiologicalproperties that may be responsive to acoustic stimuli.

In one embodiment, the measured resonance may be used to detect and/ordetermine a severity of air trapped in a user's lungs. Air may betrapped in a user's lungs as a result of a respiratory condition of theuser (e.g., Chronic Obstructive Pulmonary Disease (COPD or asthma).Additionally, or alternatively, measured characteristics of resonancemay be used to monitoring the air changes on lungs during therespiratory cycle (i.e., inhalation and exhalation) and may be used tocompare one region of the body with another (e.g., compare one lung withanother lung).

In some embodiments, the present invention may be used to track lungfunction over time in order to, for example, establish a baseline oflung function and monitor changes from the baseline as a way ofmonitoring lung health. This may be helpful when deciding whether or nota user may be susceptible to an infection or adverse event (e.g., anasthma attack) so that preventative measures may be taken and/ortreatments administered.

The emitter and receiver may be housed in the same or independenthousings. The housing may assist with the projection of acoustic energyinto a target location within a user's body by the emitter and/orreception of sound exiting the user's body by the receiver. For example,a shape or feature of a housing may direct acoustic energy toward atarget and/or assist with the detection of sound emanating from theuser's body.

The housing may be configured to be positioned adjacent to the user'sskin. This positioning may reduce noise (e.g., ambient noise,cross-talk, etc.) introduced into the signal received by the receiverbecause, for example, noise may not be able to enter the receiver via agap, or space, between the housing and the user's skin. Additionally, oralternatively, an exemplary housing may include one or more mechanicaland/or electronic noise-reducing mechanisms to prevent ambient soundfrom being detected by the receiver.

In some embodiments, a housing may include a plurality of emittersand/or receivers. Additionally, or alternatively, a system may include aplurality of emitters and/or receivers each within their own housingthat may be configured to, for example, be placed at various locationson a user.

The systems, devices, and methods disclosed herein have the potential tostandardize part of the auscultation routine by eliminating the need forusers to generate sound by, for example, coughing, sneezing, orbreathing to generate the sounds in the lungs that are received.

Turning now to the figures, FIG. 1 shows an exemplary activeauscultation system 100 that includes an exemplary housing 105 for anemitter 110, a receiver 115, a processor/memory 160 communicativelycoupled to the emitter 110 and receiver 115, and an optional mechanicalnoise reduction mechanism 150. In some instances, active auscultationsystem 100 may also include a transceiver by which it may communicatewith an external electronic device (e.g., a computer or smart phone)(not shown) via, for example, a wireless communication protocol. Emitter110 may be any device that emits and/or is capable of producing a sound,vibration, wave, and/or pulse. Exemplary emitters 110 include, but arenot limited to, speakers, shakers, piezoelectric transducers,electromechanical transducers, or any other device capable of convertingelectrical signals into audio waveforms by, for example, exciting thesurrounding air and/or a surrounding media (e.g., skin, water, and/orsubcutaneous fat).

Emitter 110 and/or receiver 115 may be positioned within housing 105 sothat it/they may be proximately positioned to the surface of a user'sskin 130 as shown in FIG. 1 . In some instances, emitter 110 and/orhousing 105, may be positioned on a user's body so that sound may bedelivered to the skin layer 130 and directed to a target within the body135 such as, but not limited to, an organ like the lung or heart. Oftentimes, housing 110 will be positioned on the thorax of the user tofacilitate communication of acoustic energy to the chest cavity.

In some embodiments, housing 105 may be configured to allow for movementacross the user via, for example, sliding along a strap or manuallymoved by an operator (e.g., a physician) to analyze the acoustic energyreflected and/or emitted by the user. Mechanical noise reductionmechanism 150 may be any material configured to mechanically preventambient noise from reaching receiver 115 including foam, fibers, orother materials that absorb sound. In some embodiments, mechanical noisereduction mechanism 150 surrounds a perimeter of housing 105 and may bepositioned such that it is coincident with user's skin 130. Although notshown in FIG. 1 , in some embodiments, mechanical noise reductionmechanism 150 may extend over and cover a portion, or all of housing105. Additionally, alternatively, mechanical noise reduction mechanism150 may extend under housing 105 (not shown) so as to form anoise-reducing interface between housing 105 and user's skin 130.Additionally, alternatively, mechanical noise reduction mechanism 150may be resident within housing 105 (not shown) as, for example, anoise-reducing foam or fiber that occupies space within housing nototherwise occupied by components of active auscultation system 100.Additionally, or alternatively, a mechanical noise reduction mechanismmay be a lining 155 positioned on the inside and/or outside of housing105.

Processor/memory 160 may be configured to execute one or moreinstructions which may be stored in the memory. For example,processor/memory 160 may provide emitter 110 with signal stimuli thatcauses the emitter to produce acoustic energy of one or more frequencies(also referred to herein as a source signal). This source signal isrepresented in FIG. 1 as a first dashed line 120, which passes throughskin layer 130 into target region of the body 135. In some instances,emitter 110 may be provided with a broadband signal stimuli or othersignal that exploits multiple frequencies so that the source signal isof multiple frequencies. This source signal may provide these multiplefrequencies simultaneously (i.e., the source signal includes multiplefrequencies at once) and/or the source signal may include a successionof multiple frequencies, each projected by the emitter at a differenttime. Processor/memory may also store and/or cache received signals forlater transmission to, for example, a communication device likecommunication device 310 as will be discussed below with regard to FIGS.3A-3C.

In some embodiments, processor/memory 160 may adjust the signal stimulibased on one or more factors that may include, but are not limited to,physiological factors of the user (e.g., gender, body mass index, age,etc.), a diagnosis of the user, a size and/or shape of a target, a typeof fluid or gas that may be present within the body or target 135, alocation of the sensors, a level of ambient noise, an orientation of theuser (e.g., vertical or horizontal), and so on.

In some instances, the stimuli may coincide with, or may otherwise besimilar to one or more naturally occurring frequencies of target (e.g.,organ of interest) that may be caused by, for example, rhythmicalmovement (e.g., breathing or heartbeat) and/or frequencies occurringwithin the ambient environment (e.g., fan noise, equipment noise). Inthese embodiments, the stimuli may be adjusted so that the target'sresponse to the stimuli may be more easily discernable from thesefrequencies.

In some embodiments, emitter(s) 110 may generate mutually orthogonalsignals (e.g. pseudorandom noise with different keys) simultaneously.When received, these mutually orthogonal signals may then be used todecorrelate an intensity of the return signal of different frequencies.Additionally, or alternatively, source signals may be emitted using timedivision across a plurality of emitters 110 positioned at a plurality oflocations on the user.

The receiver then receives an acoustic energy signal that is emanatingfrom the user's body via, for example, reflection, or resonance. Thereceived acoustic energy signal is represented in FIG. 1 as a seconddashed line 125. This received acoustic energy 125 (also referred toherein as a return signal) may be received by processor/memory 160,which may determine, for example, characteristics of the sound frequencyand/or intensity over time. Exemplary characteristics include intensitylevels per frequency, changes on overall intensity of a frequency orrange of frequencies over time, and/or changes on intensity distributionfor a range of frequencies over time.

On some occasions, a source signal may include a plurality offrequencies, which may be referred to herein as a broadband signaland/or a white noise signal. In some cases, the frequencies included inthe plurality of frequencies and/or white noise may be pseudo-randomlyselected. For example, the signal stimuli may cause emitter 110 todeliver a broadband or white noise source signal that may be configuredto provide a return signal that, on average, may have a flat and/orknown frequency response in some, or all frequency bins. A frequency binis a subset of frequency ranges within the range of frequencies of thesource signal. For example, if the source signal provides frequencieswithin the range of 1-100 kHz then a frequency bin may be set rangewithin that frequency range at a given increment (e.g., 5, 10, 15, 20,kHz etc.).

In some embodiments, the use of a white noise in/as a source signaland/or use of different types of white noise (e.g., white noise withdifferent frequency range characteristics) may assist with theestimation of characteristics (e.g., intensity, travel time, scattering,etc.) of the return signal. In addition, for embodiments where twoemitters are used (typically each emitter is placed in a differentlocations such as on the left and right of a user's chest so that soundmay be projected into each lung of the user), each emitter may use awhite noise signal with a different set of frequencies (that may berandomly or pseudo-randomly selected) so that a first white noise signalmay be differentiated from another white noise when detected and/orreceived by one or more receivers like receiver 115. At times, analysisof the detected signals may yield information regarding cross talk orsource signal leaking from one location to another.

Additionally, or alternatively, a source signal may be set to cyclethrough a set of frequencies by, for example, increasing and/ordecreasing the frequency of a source signal over time in a periodic way(e.g., in a sinusoidal fashion) and/or a source signal may be a set offrequencies that rises or falls in, for example, a periodic, random,pseudo-random, or patterned way. This type of source signal may bereferred to as a chirp signal. The user's and/or target's 135 frequencyresponse to this chirp signal may be estimated by measuring the responsesignal and integrating this signal over time.

Additionally, or alternatively, a source signal may be generated using apseudo-randomly generated frequency or range of frequencies. This may bea targeted, or narrow, range of frequencies or a broadband range offrequencies. Chirp source signals may enable accurate measurement ofresonant responses of the chest and/or lungs of a user. In someinstances, a plurality of chirp source signals may be used to performmultiple measurements of the user in order to, for example, determineaverage minimum and/or maximum amplitude and/or intensity values for theuser's response to the chirp source signal.

Additionally, or alternatively, a source signal may be a brief butpowerful/intense burst of acoustic energy. The return signal may then beanalyzed to determine a frequency response to the burst-like sourcesignal. An advantage to using pulses is that they may be quicklymeasured.

In general, acoustic pulses (i.e., source signals of brief duration) maybe useful to measure not only the user's and/or target's frequencyresponse but also determine a time-to-target (echo) for the purpose oflocation or positioning of active auscultation system 100 and/or acomponent thereof. Additionally, or alternatively, acoustic pulses mayassist with identification and characterization of the cross-talk, orleaking, between multiple speakers/microphones sensors positioned on theuser.

FIG. 2A illustrates a second exemplary active auscultation system 200 incommunication with the user's skin 130 that includes an active, orelectro-acoustic, noise reduction system. Second exemplary activeauscultation system 200 includes a housing 205 that houses emitter 110,receiver 115, processor/memory 160, an optional mechanical noisereduction mechanism 150, an optional liner 155, and anactive/electro-acoustic noise reduction system 210.Active/electro-acoustic noise reduction system 210 may be, for example,a receiver directed away from the user and/or emitter 110 and may beconfigured to capture ambient noise and/or environmental sound. Soundreceived active/electro-acoustic noise reduction system 210 may be usedto, for example, filter received acoustic signal 125 to remove sound notemanating from the user and/or target 135 that may be considered noise.Mechanical noise reduction mechanism 150 may be implemented with housing205 in a manner similar to its implementation with housing 105.

FIG. 2B illustrates a third exemplary active auscultation system 201 incommunication with the user's skin that includes a plurality ofreceivers and an optional active, or electro-acoustic, noise reductionsystem. Third exemplary active auscultation system 201 includes ahousing 205 that houses emitter 110, processor/memory 160, an optionalmechanical noise reduction mechanism 150, an optional liner 155, anoptional active/electro-acoustic noise reduction system 210, and aplurality of receivers 115A, 115B, and 115C. The plurality of receivers115A, 115B, and 115C may be arranged in an array and may be configuredto receive acoustic energy signals 125A, 125B, and/or 125C,respectively. Digital processing by, for example, processor/memory 160and/or a processor/computer not resident within housing, such ascommunication device 310 and/or server 420 as discussed below withregard to FIGS. 3A-3C and FIG. 4 , of received acoustic energy signals125A, 125B, and/or 125C may serve to focus the received sound by, forexample, beam forming and/or eliminating portions of the signal receivedfrom an undesirable direction (e.g., not a target location in the user'sbody) and/or focusing on portions of received acoustic energy signals125A, 125B, and/or 125C coming from a point of interest.

FIG. 3A provides a front and a side view of a user wearing activeauscultation system 100, 200, or 201. Active auscultation system 100,200, or 201 is attached to the user via a mounting device (e.g., a strapor band) 205 that wraps around the user's torso and maintains a positionof active auscultation system 100, 200, or 201 that is typically flushagainst the user's skin. Mounting device 205 may be configured tomaintain a position of active auscultation system 100, 200, or 201 overtime as the user wears active auscultation system 100, 200, or 201. FIG.3A also shows an external communication device 310 in communication withactive auscultation system 100, 200, or 201 via the BLUETOOTH™ wirelesscommunication protocol. Communication device 310 may receive and/ortransmit signals to active auscultation system 100, 200, or 201 and mayprocess those signals according to one or more methods disclose herein.

FIG. 3B provides a front and a side view of a user wearing an emitter110 and a receiver 115 positioned on opposite sides of the user'sthorax. Receiver 115 and/or emitter 110 may be in communication withcommunication device 310 and, in some instances, their respectiveactivity may be controlled and monitored by communication device 310.

FIG. 3C provides an illustration of an exemplary active auscultationsystem 100, 200, and/or 201 configured as a stick-on patch that may beattached to a user's epidermis. FIG. 3C also provides a side view of theuser showing where the active auscultation system 100, 200, and/or 201embodied as a stick-on patch may be affixed to the user's thorax. FIG.3C further shows a front view of the user with two active auscultationsystems 100, 200, and/or 201 positioned on the left and right sides ofthe user's thorax. Active auscultation systems 100, 200, and/or 201 maybe in wired and/or wireless communication with communication device 310and, in some instances, their respective activity may be controlled andmonitored by communication device 310.

The housings, emitters, receivers, and/or systems disclosed herein maybe configured for a one-time use (e.g., may be disposable) or multipleuses.

FIG. 4 provides a block diagram of a system 400 for the acquisition andprocessing of active auscultation data from a plurality of communicationdevices 310, each of which are in communication with one or more activeauscultation systems 100, 200, and/or 201. System 400 may include aplurality (e.g., 100, 1000, 1,000,000, etc.) communication devices whichare depicted as communication devices 310A, 310B, 310C, 310N in FIG. 4 .Communication devices 310A, 310B, 310C, 310N are communicatively coupledto a server 420 via a communication network (e.g., the Internet) and/orremote server 410A. Server 420 is communicatively coupled to a firstdatabase 415 and a second database 430. Optionally, system 400 mayinclude a private access terminal 455 and/or a public access terminal445 either or both of which may be communicatively coupled to server for20 database 415, and/or database 430 via a communication network e.g.,the Internet) and/or remote server 410B. In some embodiments,communication network/remote server 410A and communicationnetwork/remote server 410B may be the same and/or may be communicativelycoupled to one another. Components of system 400 may be communicativelycoupled to one another via wired and/or wireless communication links.

Communication devices 310A-310N may receive raw and/or processed data(e.g., data from which noise has been removed, data from which one ormore features have been extracted, etc.) from one or more activeauscultation systems, such as, active auscultation 100, 200, and/or 201that are being/have been worn by one of a plurality of respective users.The data may be received in real time and/or may have been cached on therespective active auscultation system until it was within communicationrange with a communication device 310. In some embodiments, each of thecommunication devices 310A-310N may add personally identifyinginformation and/or an anonymized identifier (e.g., a string of numbersor letters used to anonymously identify the user) to the data itcommunicates to server 420 so that the received data may be associatedwith the user and/or the user's anonymous identity.

In some embodiments, one or more communication device(s) 310 may storedata thereon for a short and/or long-term duration for the purpose of,for example, providing feedback and/or measurements to a user of therespective communication device 310. Additionally, or alternatively, oneor more communication device(s) 310 may analyze and/or process the rawdata prior to communication to server 420 by, for example, applicationof filters, noise reduction techniques, amplification techniques, etc.to the raw data.

Additionally, or alternatively, one or more communication device(s) 310may the flag, or otherwise associate an indicator, with data ofparticular interest to, for example, the user, that user's healthcareprovider, and/or a researcher. Data that may be of particular interestincludes data received that correlates in time to an adverse event(e.g., a coughing fit, an onset of infection, a hospitalization, etc.)and/or an event of interest (e.g., when the user is at rest, when theuser is exercising, etc.).

Additionally, or alternatively, data entered by a user and/or otherancillary data may be provided to server 420 by one or morecommunication devices 310A-310N. User-entered and/or ancillary dataincludes, but is not limited to, the user's heart rate, the user's bodytemperature, demographic information for the user (e.g., race, gender,age, etc.), an activity (e.g., light exercise, strenuous exercise, rest)engaged in by the user at the time of the data collection, medicaldiagnostic information, and medical history information. This data maybe entered by the user and/or a caregiver of the user via, for example,a user interface like keyboard and/or speech-to-text recognition. Theancillary data may, in some instances, be tagged and/or time stamped tocorrelate with the received acoustic signals.

Server 420 may receive data (e.g., raw, processed, and/or ancillary)from the plurality of communication devices 310 and made prepare userdata 435 for storage in database 415. User data 435 may include, but isnot limited to, the received raw and/or processed acoustic signals andancillary data for the user and/or correlations between the ancillarydata and the received raw and/or processed acoustic signals which may beindexed and/or placed in a lookup table buy server 420 that is stored indatabase 420.

In some embodiments, the user data 435 may be made anonymous and/oraggregated 425 and stored in database 430. The process of making userdata 435 may be consistent with any requirements for data privacyimplemented by a regulatory agency, a user, and/or a health carefacility or administrator.

The user data 435 and/or anomized/aggregated data 425 may be used todevelop a model 440 that correlates data derived using activeauscultation systems 100, 200, and/or 201 (e.g., lung resonance dataand/or received acoustic signals) with ancillary and other data such asmedical test data, imaging data (e.g., CT scan data, MRI scan data),medical history, geographic data, levels of pollution corresponding to ageographic location, weather, temperature, humidity, activity measuredby sensors (e.g., accelerometers), and/or ad lib data entered by a uservia text, email, voice commands, etc. In some instances, the models maybe developed for a single user so as to, for example, monitor thatuser's health and/or predict changes in the user's health and/or adverseevents for the user. Additionally, or alternatively, models may bedeveloped for groups of users that share a common characteristic (e.g.,level of disease progression, age, rate of oxygen consumption,geographic location, altitude, disease stage, occupation, etc.).Additionally, or alternatively, models may be developed for all usersaggregated together.

Exemplary uses for model 440 include, but are not limited to,classification of events, detection of abnormalities, detection ofunexpected events, prediction of events, determination of appropriateinterventions, etc.

Those (e.g., doctors, caregivers, etc.) with permission to access theuser's data 435 and/or models 440 may do so via private access terminal455 via communication (e.g. a request and an answer to the request)between private access terminal 455 and server 420 via communicationnetwork/remote server 410B. In some embodiments, permission to useprivate access terminal may be limited to those granted permission bythe users and/or healthcare providers associated with the data of aparticular user stored in database 415.

A user of public access terminal 445 may not have permission to viewpersonally identifiable information associated with one or more usersand may therefore only access anonymous and/or aggregated user data 425and/or models 440 as may be stored in database 430 via communicationbetween public access terminal 445 and server 420 which may befacilitated by public access terminal 455 and server 420 via publicaccess terminal 455 and server 420 via communication network/remoteserver 410B.

System 400 may be used to aggregate data from a plurality users and/orcommunication devices 310 and this data may be used to, for example, usemachine learning, or other processes, to identify commonalities and/ortrends within the data that may be used to diagnose and/or monitor thelung condition and/or health of users. Additionally, or alternativelyaggregated data from a plurality of users may be used to learn trends intrapped air volumes, or other breathing issues, that may be used topredict adverse events or other complications for users. Additionally,or alternatively aggregated data from a plurality of users may be usedto generate and/or use a large-scale transactional model that may beused in relation to, for example, monitoring users diagnosed with COPDfor other breathing disorders.

FIG. 5A provides an image 501 of a scanned, relatively healthy lung witha small volume of air trapped therein which is shown in image 501 as adark spot. FIG. 5B provides an image 502 of a scanned lung affected withCOPD that includes a plurality of pockets, or volumes, of trapped air,which are shown in image 502 as a plurality of dark spots.

FIG. 6 provides an image 600 of an exemplary manner in which a user'sleft lung 605A and right lung 605B may be modeled or approximated withtubes 610 that have one or two open ends that may represent bronchialairways and circles 615 that may represent spherical, or approximatelyspherical, volumes of trapped air. The model shown in FIG. 6 may bebased on, for example, an image like image 501 and/or 502 that showspockets of trapped air and/or received acoustic signals.

Exemplary data that may be used to build a model of a user's lungs withapproximations of the bronchial tubes and pockets of trapped air isprovided in Tables 1 and 2 below. In some instances, this data may beused to establish one or more relative measurements for trapped airvolumes and/or a set of measurements/determinations that may be unique(or specific) to a particular user depending on, for example, the user'slung characteristics (e.g., airway size, lung size, and trapped airvolumes), which, in some instances, may serve as a baseline from whichsubsequent measurements may be compared. On some occasions, thesemeasurements and/or determinations may be considered a score or lunghealth score.

Lungs airways vary in length and diameter from major to minor andgenerally reduce in size on each ramification as shown in Table 2. Theairway shape is approximated as a tube closed in one or both ends.Although airways are connected, the change in diameter changes theimpedance of sound/acoustic energy and acts as if the tube were closedon that end for many frequencies. The expected frequencies may bedetermined for tubes with one or two closed ends to get a range estimateof the diameter. The resonant frequency for each airway can be computedusing Equation 1:

$\begin{matrix}{f = \frac{v}{4\left( {L + {0.4d}} \right)}} & {{Equation}1}\end{matrix}$

Where v is the speed of sound, L the length of the tube and d thediameter of the tube for a tube closed in one end (for a tube closed in2 ends, d=0). The speed of sound in air at 20° C. is 343 meters/second.The speed of sound on air at 37° C. (the temperature of a human beingthrough which the sound is traveling) can be estimated with Equation 2:

v=331.4+0.6Tc  Equation 2

Where Tc is the temperature in degrees Celsius. The speed of sound onair at 37° C. is 353.6 m/s

In one example, a resonant frequency the right (fr) and left (fl) mainbronchus with two closed ends and one closed end for a left lung andright lung may be determined inputting the following values intoEquation 1:

-   -   v=353.6 m/s    -   Right lung L=0.025 m    -   Left lung L=0.05 m    -   Right lung d=0.014 m    -   Left lung d=0.010 m

TABLE 1 Estimating expected resonant frequencies for airways in the leftand right bronchus Closed both ends Closed 1 end$f_{r} = {\frac{353.6}{4(0.025)} = {3536{Hz}}}$$f_{r} = {\frac{353.6}{4\left( {0.025 + {0.4 \times 0.014}} \right)} = {2888.9{Hz}}}$$f_{l} = {\frac{353.6}{4(0.05)} = {1768{Hz}}}$$f_{l} = {\frac{353.6}{4\left( {0.05 + {0.4 \times 0.01}} \right)} = {1637.{Hz}}}$Following a similar process, all the other airways can be computed, asshown in table 2.

TABLE 2 Estimated resonances for airways Resonant Resonant frequency offrequency of Length Diameter tube with 2 tube with 1 Airway Name (mm)(mm) closed ends closed end Right main 25 14 3536 Hz 2888.9 Hz bronchusLeft main 50 10 1768 Hz 1637.0 Hz bronchus Lobar bronchi 20 10 4420 Hz3683.3 Hz (estimated) Segmental 10 to 15 4.5 to 13  5893-88405261.9-8403.0 bronchi Hz Hz Subsegmental  3 to 10 1 to 6  8840-29466 7129-26000 bronchi Hz Hz

The values of Table 2 may model a lung's (or lung airway's) interactionwith sound so that, for example, a range of expected resonant soundfrequencies for a lung airway in the form of a pipe may be approximated.A closed pipe may be a model for a big pipe that fits into a smaller one(like airways narrowing down), from the point of view of the air, thenarrowing down behaves as if there was a wall there. The model of Table2 may assist with selecting an appropriate range of frequencies to beinjected into the lung and/or narrow down analysis of the detected soundby selectively looking at frequencies that are most likely to correspondwith a particular user's lung anatomy/airway size.

Trapped air may be understood as the air remaining in the lungs afterexhalation and determining how much air is trapped in a user's lungs maybe useful for COPD prognosis. The size and distribution of trapped airvolumes may in the range of, for example, 1 to 5 mm of diameter and thevolume may be modeled and/or approximated as spheres with a smallcircular opening (vented sphere). At times, the content of thesevolumes/spheres of trapped air may be air depleted of oxygen with ahigher amount carbon dioxide than ambient air. The speed of sound incarbon dioxide is 259 m/s (lower than in air). In one example, a speedof sound between the speed in air and carbon dioxide (e.g., 300 m/s) maybe used.

The resonant frequency of a vented sphere is given by Equation 3:

$\begin{matrix}{f = {\frac{v}{\pi}\sqrt{\frac{3d}{8(0.85)D^{3}}}}} & {{Equation}3}\end{matrix}$

Where:

-   -   v=the speed of sound in the gas    -   D=diameter of the sphere, and    -   d=the diameter of the opening        The resonant frequencies of volumes of trapped air of differing        exemplary sizes have been calculated using Equation 3 and v=300        m/s and are provided in Table 3 below.

TABLE 3 Estimated resonances for trapped air volumes Diameter DiameterResonant Sphere (mm) opening (mm) frequency (Hz) 10 2.5 25370 Hz 20 5.012685 Hz 30 7.5  8457 Hz 40 10  6342 Hz 50 12.5  5074 Hz

The values of Table 3 may be used to develop a model of trapped air'sinteraction with sound by approximating the volume of trapped air as aspherical air bubble so that a baseline of resonant frequencies that maybe expected for a model air volume of trapped air may be determined.

The simplified lung model of Tables 1-3 may indicate acoustic resonancesin the frequency range of 1.6 KHz to 30 KHz, thus providing anindication of a range of frequencies that are most likely to produceresonance within the lung, which correspond to frequencies of interestto project into the lungs or otherwise track in order to determine auser's lung resonance. For each individual lung, or set of lungs, thespecific resonances measured will be different, based on their actuallung characteristics including, but not limited to, airway size, trappedair volumes, etc. Each person's measured resonances may be referred toas a lung resonance signature (LRS). Each user's LRS may change overtime and tracking these changes may assist with the monitoring orotherwise diagnosing lung health and/or disease progression. In someembodiments, instantaneous, or rapid, changes in LRS help establishrespiratory cycle.

The values of Tables 2 and/or 3 may be used to model a range of expectedresonant frequencies in healthy human lungs, and/or lungs of people withCOPD. The values may be used to determine a set of frequencies that areresonant for the lungs of particular users. Because the lung anatomy(e.g., bronchial tube shape, length, diameter, etc.) are highly specificto an individual, resonant frequencies for each individual user's lungsare expected to vary from user to user. Once a user's baseline ofresonant frequencies is established, it may be used to track changesthereto over time. These changes may indicate a change in lungcondition, a development of a pathology, and/or a worsening of acondition that may be indicative of an impending severe event (that mayrequire hospitalization).

In some embodiments, resonant frequencies for a plurality of users maybe determined and aggregated together to find patterns of resonances oflungs and/or trapped air across the plurality of users. This may be usedfor, monitoring, and/or prognostic purposes in order to, for example,diagnosis COPD and/or determine a severity of a COPD condition for auser.

FIG. 7A shows a spectrum capture three-dimensional graph 701 of soundthat has passed through a user's lungs and has been received by areceiver via an active auscultation system like active auscultationsystem 100, 200, and/or 201 with amplitude on the Z-axis, time on theX-axis, and frequency on the Y-axis. The spectrum capture shows the peakamplitude of a resonant region for different time periods as a dot. FIG.7B also shows a graph of respiratory cycle estimation 702 which plotsthe maximum amplitudes from graph 701 as a function of time in seconds.

FIG. 8 provides a series of graphs 800 of some exemplary sound that maybe continuously emitted over time by an emitter like emitter 110 thathas been projected into a user's lungs and received via an activeauscultation system like active auscultation system 100, 200, and/or 201by a receiver like receiver 115. The raw received sound is shown on thefirst graph 810 as a waveform that varies in intensity/power measured indecibels (dB) with time in seconds on the X-axis and intensity or powershown on the Y axis in dB. As may be seen in graph 810, the intensity ofthe received sound decreases with user's inhalation and increases withthe user's exhalation. A second graph 815 of FIG. 8 shows frequencyspectrum changes in Hz that change over time and correspond, in time, tothe values of first graph 810. FIG. 8 also shows a third graph 820 thatprovides a corresponding estimated respiratory cycle, or total change inair volume, for the user that corresponds in time with the values offirst and second graphs 810 and 815.

FIG. 9 provides a graph 900 of exemplary lung resonance signature (LRS)data for a user showing frequency in Hz as a function of intensity orpower in dB. Graph 900 provides a first line 910 that shows a range offrequencies and intensities for a lung with trapped air and a secondline 915 that shows a range of frequencies and intensities for a lungwithout trapped air.

The sound detected by the one or more detectors in communication with auser may be used in any number of ways to deduce a physiologicalcondition of a patient or user. For example, the detected sound may beanalyzed to determine a spectral shape of the sound, which may beunderstood as a relative or absolute relationship between a range ofdetected frequencies. In addition to spectral shape, a spectral tiltmight be determined by analyzing the received sound to determine if theenergy and/or intensity of detected frequencies increases and/ordecreases with the frequency and/or if any peaks or valleys inintensity/energy of the detected sound occur for particular frequenciesor ranges of frequencies. In some instances, the spectral shape of thedetected sound may include information regarding how many peaks and/orvalleys in intensity/power of detected sound occur across a frequencyrange, and any other feature such as slope of the shape, region ofmaximum energy, region of minimum energy.

The spectral shape of detected sound may be measured and/or determinedinstantaneously, periodically, and/or as-needed and, in some instances,multiple spectral shape measurements/determinations may be made overtime so that a user's response to the input sound may be monitored to,for example, determine changes and/or a rate of change. This may behelpful to track rapid or slow improvements or declines in the user'scondition.

In some cases, detected sound may also be analyzed to determine aspectral centroid (also referred to as a “center of mass”) for afrequency spectrum of detected/received sound/acoustic energy. In someinstances, a spectral centroid may be calculated as a weighted mean ofthe frequencies present in the detected/received sound. In some cases,this calculation may be performed using a Fourier transform with themagnitudes of a particular frequency shown as weights in the Equation 4below:

$\begin{matrix}{{Centroid} = \frac{{\sum}_{n = 0}^{N - 1}{f(n)}{x(n)}}{{\sum}_{n = 0}^{N - 1}{x(n)}}} & {{Equation}4}\end{matrix}$

where:

-   -   x(n)=the weighted frequency value, or magnitude, of bin number        n; and    -   f(n)=the center frequency of that bin.        This spectral centroid may be tracked over time to monitor, for        example, a range of frequencies detected and/or received by an        active auscultation system like active auscultation system 100,        200, and/or 201.

Additionally, or alternatively, harmonics and/or harmonic changes of thedetected sound may be analyzed to determine a spectral signature of thedetected sound. This analysis may reveal portions of the detected signalof higher and/or lower power/intensity (i.e., peaks and/or valleys inthe intensity or power of the detected sound, respectively) and/orrelationships of different frequencies within the detected sound.Sometimes these relationship different frequencies may be simple andpresent regular patterns (e.g., harmonics). Additionally, oralternatively, spacing between bulges, changes in spacing, relativeamplitude, etc. of detected sound/acoustic energy may be analyzed andmonitored over time to determine changes or patterns, which may be ofdiagnostic interest.

For embodiments specific to COPD, the present invention may be used tomonitor lung function and health of a user by measuring, or otherwiseassessing, a volume of air remaining in the lungs of the user aftercompletely exhaling (i.e., a volume of trapped air), which can be inindicator of COPD prognosis and lung health for users diagnosed withCOPD. In one instance, a acoustic resonance of a user's lung, or lungs,may be measured and/or determined and/or modeled based on one or moreparameters as described herein.

In some embodiments, a pair of emitters and receivers configured for usewith a user's right and left lung (i.e., one emitter and one receiverper lung). This embodiment may employ stereo sound card playback andcapture. Signals received by the receiver may be analyzed to, forexample, detect and/or characterize cross-channel leakage (e.g., soundprojected in the left lung is received by the receiver for the rightlung) by measuring the amount and frequency signature of stimuli fromone channel to the other. It is contemplated that “orthogonal” stimulimay be used for both channels (i.e., the sound projected into bothlungs). This may minimize cross-interference (e.g. use variedpseudorandom sequences, or time divisions to measure each channel at adifferent time) between the channels.

In some cases, when a pair of emitters and receivers are used, stimulimay be provided to a first emitter for the left lung and the receiverfor the second lung may be used to determine how much cross-channelleakage is detected. This process may be reversed to see if there iscross-channel leakage from the sound projected into the second lung atthe receiver for the first lung. If cross-channel leakage is detected,an orthogonal noise-like signal may be created and used as stimuli forone or both of the emitters. Cross-channel leakage may then be measuredby providing the signal to both lungs and measuring detected sound withboth detectors simultaneously. The knowledge of pseudorandom sequenceused to generate the sound may be used to infer the contribution fromeach channel received at a detector. This may be used to remove anestimated leakage contribution from a detected signal.

FIG. 10 provides a flowchart illustrating a process 1000 for determininga correlation between a characteristic of an acoustic signal receivedby, for example, an active auscultation system like active auscultationsystems 100, 200 and/or 201 and ancillary information for a user fromwhom the acoustic signal has been received. Process 1000 may be executedby any system and/or system component disclosed herein.

Initially, in step 1005, one or more acoustic signals emanating from auser may be received by, for example, a processor like processor/memory160 and/or a server like server 420 from, for example, a receiver likereceiver 115 and/or an active auscultation system like activeauscultation 100, 200, and/or 201. Ancillary information may then bereceived in step 1010. Ancillary information like the ancillaryinformation described above may be received in step 1010. Exemplaryancillary information includes, but is not limited to, informationreceived from the user (e.g., medical information, onset of a medicalcomplication or emergency, mental health status information, etc.) via,for example, interaction with a communication device like communicationdevice 310 and/or may be received directly from the communicationdevice. Ancillary information received directly from the communicationdevice may include geographic information, altitude, local weatherinformation, local air quality information, and the like. Additionally,or alternatively, ancillary information may include information capturedby a software application running on the communication device. Exemplarysoftware applications may gather information pertaining to, for example,a level of activity for the user, and a heartrate of the user, a bloodoxygen saturation level of the user.

In step 1015, one or more characteristics of the acoustic signal may bedetermined and/or received. The characteristics determined may includeany of the characteristics described herein. In step 1020, one or morecorrelations between a characteristic of the acoustic signal and thecharacteristic(s) may be determined. Then, in step 1025, a datastructure like database 415 and/or 430 may be built and/or updated usingthe received acoustic signal, ancillary information, and correlationstherebetween. In some embodiments, the data structure of step 1025 maybe made via a process similar to the process for developing model 440.

As is apparent from the foregoing discussion, aspects of the presentinvention involve the use of various computer systems and computerreadable storage media having computer-readable instructions storedthereon. FIG. 11 provides an example of a system 1100 that may berepresentative of any computing system that may be used to instantiate arespiratory disease model and/or perform a process, or a portion of aprocess described herein. Examples of system 1100 may include asmartphone, a desktop, a laptop, a mainframe computer, an embeddedsystem, etc. Note, not all of the various computer systems have all ofthe features of system 1100. For example, certain ones of the computersystems discussed above may not include a display inasmuch as thedisplay function may be provided by a client computer communicativelycoupled to the computer system or a display function may be unnecessary.Such details are not critical to the present invention. System 1100, orportions thereof, may be, for example, an active auscultation systemlike active auscultation systems 110, 200 and/or 201 system like acommunication device like communication device 311, a server like server420, and/or a computer terminal like private access terminal 455 andpublic access terminal 445 and/or components thereof.

System 1100 includes a bus 1102 or other communication mechanism forcommunicating information and a processor 1104 coupled with the bus 1102for processing information. Computer system 1100 also includes a mainmemory 1106, such as a random-access memory (RAM) or other dynamicstorage device, coupled to the bus 1102 for storing information andinstructions to be executed by processor 1104. Main memory 1106 also maybe used for storing temporary variables or other intermediateinformation during execution of instructions by processor 1104. Computersystem 1100 further includes a read only memory (ROM) 1108 or otherstatic storage device coupled to the bus 1102 for storing staticinformation and instructions for the processor 1104. A storage device1111, for example a hard disk, flash memory-based storage medium, orother storage medium from which processor 1104 can read, is provided andcoupled to the bus 1102 for storing information and instructions (e.g.,operating systems, applications programs and the like).

Computer system 1100 may be coupled via the bus 1102 to a display 1112,such as a flat panel display, for displaying information to a computeruser. An input device 1111, such as a keyboard including alphanumericand other keys, may be coupled to the bus 1102 for communicatinginformation and command selections to the processor 1104. Another typeof user input device is cursor control device 1116, such as a mouse, atrackpad, or similar input device for communicating directioninformation and command selections to processor 1104 and for controllingcursor movement on the display 1112. Other user interface devices, suchas microphones, speakers, etc. are not shown in detail but may beinvolved with the receipt of user input and/or presentation of output.

The processes referred to herein may be implemented by processor 1104executing appropriate sequences of computer-readable instructionscontained in main memory 1106. Such instructions may be read into mainmemory 1106 from another computer-readable medium, such as storagedevice 1111, and execution of the sequences of instructions contained inthe main memory 1106 causes the processor 1104 to perform the associatedactions. In alternative embodiments, hard-wired circuitry orfirmware-controlled processing units may be used in place of or incombination with processor 1104 and its associated computer softwareinstructions to implement the invention. The computer-readableinstructions may be rendered in any computer language.

In general, all of the above process descriptions are meant to encompassany series of logical steps performed in a sequence to accomplish agiven purpose, which is the hallmark of any computer-executableapplication. Unless specifically stated otherwise, it should beappreciated that throughout the description of the present invention,use of terms such as “processing”, “computing”, “calculating”,“determining”, “displaying”, “receiving”, “transmitting” or the like,refer to the action and processes of an appropriately programmedcomputer system, such as computer system 1100 or similar electroniccomputing device, that manipulates and transforms data represented asphysical (electronic) quantities within its registers and memories intoother data similarly represented as physical quantities within itsmemories or registers or other such information storage, transmission ordisplay devices.

Computer system 1100 also includes a communication interface 1118coupled to the bus 1102. Communication interface 1118 may provide atwo-way data communication channel with a computer network, whichprovides connectivity to and among the various computer systemsdiscussed above. For example, communication interface 1118 may be alocal area network (LAN) card to provide a data communication connectionto a compatible LAN, which itself is communicatively coupled to theInternet through one or more Internet service provider networks. Theprecise details of such communication paths are not critical to thepresent invention. What is important is that computer system 1100 cansend and receive messages and data through the communication interface1118 and in that way communicate with hosts accessible via the Internet.It is noted that the components of system 1100 may be located in asingle device or located in a plurality of physically and/orgeographically distributed devices.

1-27. (canceled)
 28. A method of performing active auscultationcomprising: receiving, by a processor, an acoustic energy response froma receiver communicatively coupled to the processor and proximate to theuser's body, the acoustic energy response being responsive to acousticenergy directed into the user's body toward the user's lung; andgenerating, by the processor, a model of the user's lung using thereceived acoustic energy response, the model of the user's lungincluding one or more features that represent volumes of air trapped indiscrete pockets in the user's lung.
 29. The method of claim 28, whereinthe model further includes one or more tubes with an open end thatcorrespond to one or more bronchial tubes present in the user's lung.30. The method of claim 28, wherein the model further includes one ormore tubes with closed ends that correspond to one or more bronchialtubes present in the user's lung.
 31. The method of claim 28, whereinthe one or more features that represent volumes of trapped air arespheres.
 32. The method of claim 28, wherein the one or more featuresthat represent volumes of trapped air are vented spheres.
 33. The methodof claim 28, further comprising: determining, by the processor, aresonant frequency included within the acoustic energy response, whereingeneration of the model further uses the resonant frequency.
 34. Themethod of claim 28, further comprising: receiving, by the processor,additional information about the user, wherein generation of the modelfurther uses the additional information.
 35. The method of claim 34,wherein the additional information includes at least one of the user'smedical test data, an image of the user's lung, the user's medicalhistory, and a diagnosis for the user.
 36. The method of claim 34,wherein the additional information includes at least one ofenvironmental data, geographic data, levels of pollution correspondingto a geographic location, weather, temperature, and humidity.
 37. Themethod of claim 28, further comprising: providing, by the processor, aset of signal stimuli to the emitter so that the emitter produces a setof acoustic energy directed into a user's body toward a user's lung. 38.The method of claim 28, further comprising: receiving, by the processor,a previously generated model of the user's lung; comparing, by theprocessor, the model of the user's lung and the previously generatedmodel of the user's lung; and providing, by the processor, a result ofthe comparison to the user.
 39. The method of claim 38, wherein theresult of the comparison is a change in a volume of the one or morefeatures that represent volumes of air trapped in discrete pockets inthe user's lung.
 40. The method of claim 38, wherein the result of thecomparison is a change in a shape of the one or more features thatrepresent volumes of air trapped in discrete pockets in the user's lung.41. The method of claim 28, wherein the model of the user's lung furtherincludes a position for the one or more features that represent volumesof air trapped in discrete pockets in the user's lung.
 42. The method ofclaim 28, wherein the model includes a first feature that represents afirst volume of air trapped in a first discrete pocket in the user'slung, a second feature that represents a second volume of air trapped ina second discrete pocket in the user's lung and a relative positionbetween the first feature and the second feature.
 43. A system forperforming active auscultation comprising: an emitter configured to emitacoustic energy into a user's body toward the user's lung; a receivercommunicatively coupled to a processor and configured to receive anacoustic energy response that is responsive to acoustic energy emittedinto the user's body toward the user's lung by the emitter andcommunicate the received acoustic energy response to the processor; andthe processor, the processor being configured to: receive the acousticenergy response from the receiver; and generate a model of the user'slung using the received acoustic energy response, the model of theuser's lung including one or more features that represent volumes of airtrapped in discrete pockets in the user's lung.
 44. The system of claim43, wherein the model further includes one or more tubes with an openend and a closed end or two closed ends that correspond to one or morebronchial tubes present in the user's lung.
 45. The system of claim 43,wherein the one or more features that represent volumes of trapped airare at least one of spheres and vented spheres.
 46. The system of claim43, wherein the processor is further configured to: determine a resonantfrequency included within the acoustic energy response, whereingeneration of the model further uses the resonant frequency.
 47. Thesystem of claim 43, wherein the processor is further configured to:receive additional information about the user, wherein generation of themodel further uses the additional information.
 48. The system of claim43, wherein the processor is further configured to: provide a set ofsignal stimuli to the emitter so that the emitter produces a set ofacoustic energy directed into a user's body toward a user's lung. 49.The system of claim 43, wherein the processor is further configured to:receive a previously generated model of the user's lung; compare themodel of the user's lung and the previously generated model of theuser's lung; and provide a result of the comparison to the user.
 50. Thesystem of claim 43, wherein the model of the user's lung furtherincludes a position for the one or more features that represent volumesof air trapped in discrete pockets in the user's lung.
 51. The system ofclaim 43, wherein the model includes a first feature that represents afirst volume of air trapped in a first discrete pocket in the user'slung, a second feature that represents a second volume of air trapped ina second discrete pocket in the user's lung and a relative positionbetween the first feature and the second feature.